Trend following assumes persistence
Trend following buys strength or sells weakness on the belief that direction can persist longer than random noise. In crypto, that hypothesis can work during strong regime expansion and fail badly during whipsaw, chop and event-driven reversals.
A trend-following system is not just “buy green candles.” It defines the observation window, the trigger, the position-sizing rule, the exit condition and the volatility regime where the idea should be turned down or off.
Three parts of a trend-following rule
| Part | Job | Common failure |
|---|---|---|
| Entry | Detect persistence through breakout, moving average or momentum filter | Entering after the move is mature |
| Sizing | Scale risk by volatility and conviction | Oversizing into unstable conditions |
| Exit | Cut reversal or decay exposure | Giving back gains in choppy markets |
Why it still loses money
- False breakouts create repeated small losses.
- Funding and turnover eat the edge in derivatives markets.
- Fast reversals punish delayed confirmation logic.
- Volatility spikes widen spread and slippage right when the system must react.
Trend following versus scalping
Trend following and scalping solve opposite problems. Trend following tolerates waiting and targets a larger directional move. Scalping targets tiny local moves and is much more sensitive to latency and microstructure. If your edge disappears after one extra spread payment, you are not in a trend strategy anymore.
Continue to AI scalping for the short-horizon contrast, or return to the broader crypto algorithmic trading framework.
Sources and scope
- Onchain Off Emotion — backtests vs live results
- Onchain Off Emotion — automated trading systems
- Onchain Off Emotion risk disclosure
This page explains the structure of trend following. It does not claim any trend rule is currently profitable.